Spectral graph convolutional neural network for Alzheimer's disease diagnosis and multi-disease categorization from functional brain changes in magnetic resonance images DOI Creative Commons
Hadeel Alharbi, Roben A. Juanatas, Abdullah Al Hejaili

и другие.

Frontiers in Neuroinformatics, Год журнала: 2024, Номер 18

Опубликована: Окт. 30, 2024

Alzheimer's disease (AD) is a progressive neurological disorder characterized by the gradual deterioration of cognitive functions, leading to dementia and significantly impacting quality life for millions people worldwide. Early accurate diagnosis crucial effective management treatment this debilitating condition. This study introduces novel framework based on Spectral Graph Convolutional Neural Networks (SGCNN) diagnosing AD categorizing multiple diseases through analysis functional changes in brain structures captured via magnetic resonance imaging (MRI). To assess effectiveness our approach, we systematically analyze structural modifications SGCNN model comprehensive ablation studies. The performance various (CNNs) also evaluated, including variants, Base CNN, Lean Deep CNN. We begin with original model, which serves as baseline achieves commendable classification accuracy 93%. In investigation, perform two distinct studies examine how specific impact its performance. results reveal that Ablation Model 1 enhances accuracy, achieving an impressive 95%, while 2 maintains Additionally, CNN demonstrates strong 93%, whereas both models achieve 94% indicating their competitive capabilities. validate models' effectiveness, utilize evaluation metrics, precision, recall, F1-score, ensuring thorough assessment Our findings underscore (SGCNN 1) delivers highest predictive among tested models, highlighting potential robust approach image classification. Ultimately, research aims facilitate early AD, contributing improved patient outcomes advancing field neurodegenerative diagnosis.

Язык: Английский

The Role of Cortisol and Dehydroepiandrosterone in Obesity, Pain, and Aging DOI Creative Commons

Nikolina Erceg,

Miodrag Mićić, Eli Forouzan

и другие.

Diseases, Год журнала: 2025, Номер 13(2), С. 42 - 42

Опубликована: Фев. 1, 2025

Obesity, chronic pain, and aging are prevalent global challenges with profound implications for health well-being. Central to these processes adrenal hormones, particularly cortisol dehydroepiandrosterone (DHEA), along its sulfated form (DHEAS). Cortisol, essential stress adaptation, can have adverse effects on pain perception when dysregulated, while DHEA/S possess properties that may mitigate effects. This review explores the roles of in contexts obesity, acute aging, age-related diseases. We examine hormonal balance, specifically cortisol-to-DHEA ratio (CDR), as a key marker system functionality impact sensitivity, neurodegeneration, physical decline. Elevated CDR decreased levels associated worsened outcomes, including increased frailty, immune dysfunction, progression conditions such osteoporosis Alzheimer’s disease. synthesizes current literature highlight complex interplay between hormones their broader health. It aims provide insights into potential future therapies improve management promote healthy weight aging. By investigating mechanisms, this work contributes deeper understanding physiological intersections endocrine system.

Язык: Английский

Процитировано

1
The Role of Mitochondrial Copy Number in Neurodegenerative Diseases: Present Insights and Future Directions DOI Open Access

Annamaria Cerantonio,

Luigi Citrigno, Béatrice Gréco

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(11), С. 6062 - 6062

Опубликована: Май 31, 2024

Neurodegenerative diseases are progressive disorders that affect the central nervous system (CNS) and represent major cause of premature death in elderly. One possible determinants neurodegeneration is change mitochondrial function content. Altered levels DNA copy number (mtDNA-CN) biological fluids have been reported during both early stages progression diseases. In patients affected by neurodegenerative diseases, changes mtDNA-CN appear to correlate with dysfunction, cognitive decline, disease progression, ultimately therapeutic interventions. this review, we report main results published up April 2024, regarding evaluation blood samples from Alzheimer’s (AD), Parkinson’s (PD), Huntington’s (HD), amyotrophic lateral sclerosis (ALS), multiple (MS). The aim show a probable link between disorders. Understanding causes underlying association could provide useful information on molecular mechanisms involved offer development new diagnostic approaches

Язык: Английский

Процитировано

6
Network pharmacology-based approach to investigate the molecular targets and molecular mechanisms of Rosmarinus officinalis L. for treating aging-related disorders DOI

Amisha Bisht,

Disha Tewari,

Sanjay Kumar

и другие.

Biogerontology, Год журнала: 2024, Номер 25(5), С. 793 - 808

Опубликована: Июль 17, 2024

Язык: Английский

Процитировано

4
Neuropharmacology of endophytic fungal bioactives: Promising leads for brain disorders DOI

Sheetal Vats

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 109 - 132

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Inflammaging: The Next Challenge—Exploring the Role of Gut Microbiota, Environmental Factors, and Sex Differences DOI Creative Commons
Mario Caldarelli, Pierluigi Rio, Andrea Marrone

и другие.

Biomedicines, Год журнала: 2024, Номер 12(8), С. 1716 - 1716

Опубликована: Авг. 1, 2024

The term 'inflammaging' has been coined to describe the chronic state of inflammation derived from ongoing cycles tissue damage and subsequent immune responses. This inflammatory status contributes decline organs physiological functions, accelerates aging process, increases risk age-related illnesses death. During aging, gut microbiota (GM) undergoes significant changes, including a decreased diversity species, in beneficial bacteria, rise proinflammatory ones, resulting persistent low-grade inflammation. Moreover, environmental factors, such as diet medications, contribute changes GM function, preventing or promoting inflammaging. narrative review aims clarify underlying mechanisms inflammaging specifically investigate influence several factors on these mechanisms, while also exploring potential differences related sex. lifestyle pharmacological interventions will be suggested promote healthy aging.

Язык: Английский

Процитировано

2
Can salivary and skin microbiome become a biodetector for aging-associated diseases? Current insights and future perspectives DOI Creative Commons
Fahrul Nurkolis,

Trianna Wahyu Utami,

Aiman Idrus Alatas

и другие.

Frontiers in Aging, Год журнала: 2024, Номер 5

Опубликована: Окт. 17, 2024

Growth and aging are fundamental elements of human development. Aging is defined by a decrease in physiological activities higher illness vulnerability. Affected lifestyle, environmental, hereditary elements, results disorders including cardiovascular, musculoskeletal, neurological diseases, which accounted for 16.1 million worldwide deaths 2019. Stress-induced cellular senescence, caused DNA damage, can reduce tissue regeneration repair, promoting aging. The root cause many age-related inflammation, encouraged the senescence-associated secretory phenotype (SASP). Aging's metabolic changes declining immune systems raise risk via microbiome diversity. Stable, individual-specific skin oral microbiomes essential both health disease since dysbiosis linked with periodontitis eczema. Present from birth to death, microbiome, under influence diet interacts symbiotically body. Poor dental has been Alzheimer's Parkinson's diseases microorganisms systemic have important interactions. Emphasizing importance across lifetime, this study reviews understanding microbiome's role aging-related that direct novel diagnosis treatment approaches.

Язык: Английский

Процитировано

2
Aging-induced dysbiosis worsens sepsis severity but is attenuated by probiotics in D-galactose-administered mice with cecal ligation and puncture model DOI Creative Commons

Chalisa Pinitchun,

Wimonrat Panpetch,

Thansita Bhunyakarnjanarat

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(10), С. e0311774 - e0311774

Опубликована: Окт. 18, 2024

Introduction Despite the well-established effects of aging on brain function and gut dysbiosis (an imbalance in microbiota), influence sepsis-associated encephalopathy (SAE) role probiotics this context remain less understood. Methods C57BL/6J mice (8-week-old) were subcutaneously administered with 8 weeks D-galactose (D-gal) or phosphate buffer solution (PBS) for non-aging models, respectively, without oral Lacticaseibacillus rhamnosus GG (LGG). Additionally, impact condition media from LGG (LCM) was tested macrophages (RAW 264.7 cells), microglia (BV-2 hippocampal cells (HT-22 cells). Result Fecal microbiome analysis demonstrated D-gal-induced (reduced Firmicutes Desulfobacterota increased Bacteroidota Verrucomicrobiota), which partially neutralized dysbiosis. D-gal also worsens cecal ligation puncture (CLP) sepsis severity when compared PBS-CLP mice, as indicated by serum creatinine (Scr) alanine transaminase (ALT), but not mortality, neurological characteristics (SHIRPA score), cytokines (TNF-α IL-6). supported fibrosis liver, kidney, lung; however, CLP did worsen fibrosis. Interestingly, attenuated all parameters (mortality, Scr, ALT, SHIRPA, cytokines) (PBS-CLP) while improving these parameters, except mortality IL-6, (D-gal CLP). For vitro test using lipopolysaccharide (LPS) stimulation, LCM inflammation some RAW264.7 BV-2 HT-22 cells, implying a direct anti-inflammatory effect macrophages, brain. Conclusion induced fecal worsened determined Scr could alleviate most selected sepsis, including SAE. However, SAE delivery beneficial molecules to partly due attenuation systemic through modulation macrophages.

Язык: Английский

Процитировано

2
From Bench to Bedside: Translating Cellular Rejuvenation Therapies into Clinical Applications DOI Creative Commons
Timur Saliev, Prim B. Singh

Cells, Год журнала: 2024, Номер 13(24), С. 2052 - 2052

Опубликована: Дек. 12, 2024

Cellular rejuvenation therapies represent a transformative frontier in addressing age-related decline and extending human health span. By targeting fundamental hallmarks of aging—such as genomic instability, epigenetic alterations, mitochondrial dysfunction, cellular senescence—these aim to restore youthful functionality cells tissues, offering new hope for treating degenerative diseases. Recent advancements have showcased range strategies, including reprogramming, senolytic interventions, restoration, stem cell-based approaches, gene-editing technologies like CRISPR. Each modality has demonstrated substantial potential preclinical models is now being cautiously explored early-stage clinical trials. However, translating these from the laboratory practice presents unique challenges: safety concerns, delivery precision, complex regulatory requirements, ethical considerations, high costs impede widespread adoption. This review examines current landscape rejuvenation, highlighting key advancements, risks, strategies needed overcome hurdles.

Язык: Английский

Процитировано

1
Spectral graph convolutional neural network for Alzheimer's disease diagnosis and multi-disease categorization from functional brain changes in magnetic resonance images DOI Creative Commons
Hadeel Alharbi, Roben A. Juanatas, Abdullah Al Hejaili

и другие.

Frontiers in Neuroinformatics, Год журнала: 2024, Номер 18

Опубликована: Окт. 30, 2024

Alzheimer's disease (AD) is a progressive neurological disorder characterized by the gradual deterioration of cognitive functions, leading to dementia and significantly impacting quality life for millions people worldwide. Early accurate diagnosis crucial effective management treatment this debilitating condition. This study introduces novel framework based on Spectral Graph Convolutional Neural Networks (SGCNN) diagnosing AD categorizing multiple diseases through analysis functional changes in brain structures captured via magnetic resonance imaging (MRI). To assess effectiveness our approach, we systematically analyze structural modifications SGCNN model comprehensive ablation studies. The performance various (CNNs) also evaluated, including variants, Base CNN, Lean Deep CNN. We begin with original model, which serves as baseline achieves commendable classification accuracy 93%. In investigation, perform two distinct studies examine how specific impact its performance. results reveal that Ablation Model 1 enhances accuracy, achieving an impressive 95%, while 2 maintains Additionally, CNN demonstrates strong 93%, whereas both models achieve 94% indicating their competitive capabilities. validate models' effectiveness, utilize evaluation metrics, precision, recall, F1-score, ensuring thorough assessment Our findings underscore (SGCNN 1) delivers highest predictive among tested models, highlighting potential robust approach image classification. Ultimately, research aims facilitate early AD, contributing improved patient outcomes advancing field neurodegenerative diagnosis.

Язык: Английский

Процитировано

0